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CVPR
2007
IEEE
16 years 1 days ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
ECCV
2010
Springer
15 years 3 months ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
TSP
2011
197views more  TSP 2011»
14 years 5 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
TCSV
2002
139views more  TCSV 2002»
14 years 9 months ago
Localizing and segmenting text in images and videos
Many images--especially those used for page design on web pages--as well as videos contain visible text. If these text occurrences could be detected, segmented, and recognized auto...
Rainer Lienhart, Axel Wernicke
CIKM
2010
Springer
14 years 8 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang